Animated Solution for Mathematics - Vector Algebra: Let the vectors a=(1+t)i^+(1−t)j^+k^, b=(1−t)i^+(1+t)j^+2k^ and c=ti^−tj^+k^,t∈R be such that for α,β,γ∈R,αa+βb+γc=0⇒α=β=γ=0. Then, the set of all values of t is :
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Visualized Solution
The Given Vectors and Condition
We are given three vectors: a, b, and c.
The condition is: αa+βb+γc=0⟹α=β=γ=0.
Linear Independence
The condition αa+βb+γc=0⟹α=β=γ=0 is the exact definition of Linear Independence.
This means none of the vectors can be written as a combination of the other two.
Scalar Triple Product
For three vectors in 3D space to be linearly independent, they must be non-coplanar.
Geometrically, they form a parallelepiped with a non-zero volume.
Therefore, their Scalar Triple Product must not be zero: [abc]=0.
Setting up the Determinant
The scalar triple product is calculated using the determinant of the vector components.
1+t1−tt1−t1+t−t121=0
Column Operation: C2→C1+C2
To simplify, let's apply a column operation: C2→C1+C2.
1+t1−tt(1+t)+(1−t)(1−t)+(1+t)t+(−t)121=0
1+t1−tt220121=0
Row Operation: R1→R1−R2
Now, apply a row operation to create more zeros: R1→R1−R2.
(1+t)−(1−t)1−tt2−2201−221=0
2t1−tt020−121=0
Expanding the Determinant
Expand the determinant along the second column (C2).
The sign for the element 2 at position (2,2) is positive ((−1)2+2=+1).
2×2tt−11=0
Solving the Inequality
Evaluate the 2×2 determinant:
2×((2t)(1)−(t)(−1))=0
2×(2t+t)=0
2×(3t)=0⟹6t=0
Final Range for t
From 6t=0, we get t=0.
Since t is a real number (t∈R), the set of all possible values for t is all real numbers except zero.
Final Answer: t∈R−{0}
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The Sigma Insight: Scalar Triple Product
Solution Diagram
Analyzing the Setup
Welcome, student. Today, we are diving into the heart of vector algebra. We are given three vectors, a, b, and c, and a condition that looks intimidating at first glance: αa+βb+γc=0⟹α=β=γ=0.
Do not let the notation scare you. This is the mathematical definition of Linear Independence. It means these vectors are 'free'—none of them can be created by combining the others.
They span a full three-dimensional volume. If you were to walk along a, then b, and then c, you would be exploring the full depth of space, never trapped in a single plane.
The Scalar Triple Product
Measuring Volume
How do we translate this 'freedom' into a calculation? We use the Scalar Triple Product.
Geometrically, if we treat these three vectors as the edges of a parallelepiped, their scalar triple product gives us the volume of that shape. If the vectors are linearly independent, they are non-coplanar, meaning they form a 3D shape with a non-zero volume.
Therefore, the condition for linear independence is simply that the scalar triple product must not be zero: $[\vec{a} \ \vec{b} \ \vec{c}]
eq 0$. This is our gateway to the solution.
The Algebraic Dance
Simplifying the Determinant
We construct our determinant using the components of our vectors as rows:
1+t1−tt1−t1+t−t121eq0
Now, we could expand this directly, but that is the path of the novice. We are aiming for elegance. Let us use column operations to simplify.
Notice the second column. If we apply C2→C1+C2, the t terms in the first two rows will cancel out beautifully. The determinant becomes:
1+t1−tt220121eq0
Look at that! We have created a zero in the third row. Let us go further. By applying R1→R1−R2, we create another zero in the second column:
2t1−tt020−121eq0
The Final Revelation
Now, expanding along the second column is trivial. We take the element 2, multiply it by the determinant of the remaining 2×2 matrix, and set it to non-zero:
2×2tt−11eq0
Evaluating this, we get 2×(2t−(−t))=2×(3t)=6t. Thus, our condition is $6t
eq 0$.
This implies $t
eq 0$. Since t is any real number, the set of all values for t is simply R−{0}. You have successfully navigated the geometry and the algebra. Well done.